Revisiting the Effectiveness of Off-the-shelf Temporal Modeling
Approaches for Large-scale Video Classification

Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification

12 August 2017

Chuang Gan

Jie Zhou

Papers citing "Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification"

10 / 10 papers shown

Title
Trusted Multi-View Classification with Dynamic Evidential Fusion Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou EDL 15 216 0 25 Apr 2022
Attention Bottlenecks for Multimodal Fusion Arsha Nagrani Shan Yang Anurag Arnab A. Jansen Cordelia Schmid Chen Sun 25 539 0 30 Jun 2021
Is Space-Time Attention All You Need for Video Understanding? Gedas Bertasius Heng Wang Lorenzo Torresani ViT 280 1,981 0 09 Feb 2021
Trusted Multi-View Classification Zongbo Han Changqing Zhang H. Fu Joey Tianyi Zhou EDL 19 164 0 03 Feb 2021
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification Wensi Tang Guodong Long Lu Liu Tianyi Zhou Michael Blumenstein Jing Jiang AI4TS 11 99 0 24 Feb 2020
Audiovisual SlowFast Networks for Video Recognition Fanyi Xiao Yong Jae Lee Kristen Grauman Jitendra Malik Christoph Feichtenhofer 192 205 0 23 Jan 2020
CATER: A diagnostic dataset for Compositional Actions and TEmporal Reasoning Rohit Girdhar Deva Ramanan 19 176 0 10 Oct 2019
Learning Video Representations from Correspondence Proposals Xingyu Liu Joon-Young Lee Hailin Jin 19 63 0 20 May 2019
Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification Saining Xie Chen Sun Jonathan Huang Z. Tu Kevin Patrick Murphy 3DH 11 1,306 0 13 Dec 2017
Attention Clusters: Purely Attention Based Local Feature Integration for Video Classification Xiang Long Chuang Gan Gerard de Melo Jiajun Wu Xiao-Chang Liu Shilei Wen 23 207 0 27 Nov 2017